Multi-scene oriented energy consumption prediction and scheduling optimization method and system

Abstract

The application relates to the technical field of energy management, and discloses a multi-scene energy consumption prediction and scheduling optimization method and system. The method obtains heterogeneous scene data, performs scene dimension decomposition to obtain specificity and invariability feature vectors, generates energy consumption prediction by using dynamic weight fusion, constructs a joint optimization function to determine a scheduling strategy, and performs self-adaptive update based on feedback information. The application can accurately predict multi-scene energy consumption, realizes efficient allocation of resources and reasonable scheduling of tasks, reduces overall energy consumption while guaranteeing system performance.

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